Given a dataset which we cannot even see properly on hackerrank, build 2 ML models and answer insight related questions within 2 hours. It made no sense. The dataset was in raw form, had to be studied and converted into features and target, split for training/testing and report accuracy. This is not how a data science task can be completed.
Oracle voting disk how many
Make sure to study recommendation engines, since this is the bread and butter of their work. They don't really have any interest in your work experience, like many tech interviews.
Lots of coding questions and data analysis tasks.
¿En que año de la facultad estas cursando actualmente?
Why do you interest in Flipkart?
It was one of the question from the Tech interview, I don't remember it. It was something with a truck and a tunnel!
Your status and when you will be available.
Puzzles
Price optimization
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